From the course: CompTIA SecAI+ (CY0-001) Cert Prep

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Model access controls

Model access controls

Controlling model access is one of the most fundamental steps in protecting an AI system. It determines who can use the model, what they can do with it, and how they connect to it. Without strong access controls, even the most secure model architecture can be compromised through unauthorized use, misuse, or outright theft. The first line of defense is authentication. Every user or system that interacts with an AI model should have valid credentials before any request is processed. For internal systems, this often means integrating with existing identity management solutions like single sign-on or active directory. For external access, organizations can issue unique API keys to each client and reject any request that lacks a valid key. These approaches ensure that only verified users can reach the model and that actions can be traced back to responsible parties. Role-based access control, also known as RBAC, or attribute-based access control, or ABAC, add an important layer of security…

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